HR Assistant and Office Coordinator
Hebrew speaking Customer Service Advisor
Administrative Assistant
Business Analyst
Salesforce Product Analyst
Import Coordinator
Executive Assistant
Digital Analyst
Synthetic Influence Intelligence Analyst
Property & Casualty Insurance Underwriter
Team Administrator (3 days a week)
Paralegal
PROJECT COORDINATOR
Contracts Analyst
Crew Coordinator
Trainee
Salesforce Product Analyst
SFDC Data Modeller, Data Analyst, SFDC Dev
Pastry Sous Chef
Logistics Coordinator
Site Manager
Laboratory Assistant
Pricing Analyst
Business Analyst
Business Analyst
Data Migration Analyst - AI-Enabled PropTech
Retail Press Wholesale Coordinator
Assistant Estate Manager
Technical Business Analyst
Maintenance Operative
How do we rank vacancies?
Job Vacancy Ranking
To provide users with the most relevant results, our search engine applies a two-step process for displaying vacancies:
1. Filtering: Vacancies are first filtered based on your search criteria (e.g., keywords, radius, employment type, and salary). Any vacancy that does not meet these mandatory requirements is excluded from the results.
2. Ranking: Remaining vacancies are ranked based on a composite relevance score, calculated using the following factors:
Textual Relevance: We analyze how well your keywords match the job posting. Matches within the job title carry the highest weight, followed by the short description and general text.
Recency & Proximity: New vacancies and those located closer to your search location are prioritized. The relevance score decreases as the posting date becomes older or the distance from the search center increases.
Commercial Prioritization: Certain vacancies may be prioritized due to commercial agreements. This includes 'TopJobs' (paid promotions), employers using a 'boost' feature, or vacancies posted directly by our partners compared to third-party external sources.